Difference between revisions of "Manuals/calci/NORMAL"
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*It is the only absolutely continuous distribution. | *It is the only absolutely continuous distribution. | ||
*A normal distribution is calculated by | *A normal distribution is calculated by | ||
− | <math>f(x,\mu,\sigma)=\frac {1}{\sigma\sqrt{2\pi} e^{\frac{-(x-\mu)^2}{2\sigma^2}}</math>, where <math>\mu</math> is the mean and <math>\sigma<\math> is the standard deviaton of the distribution. | + | <math>f(x,\mu,\sigma)=\frac {1}{\sigma\sqrt{2\pi}} e^{\frac{-(x-\mu)^2}{2\sigma^2}}</math>, |
+ | where <math>\mu</math> is the mean and <math>\sigma<\math> is the standard deviaton of the distribution. | ||
Revision as of 01:00, 24 March 2014
- is the value for which distribution is evaluated.
- is the mean.
- is the standard deviation.
Description
- This function gives the value of the normal probability distribution.
- It is the continuous probability distribution.
- The normal distributions are a very important class of statistical distributions.
- All normal distributions are symmetric and have bell-shaped density curves with a single peak.
- The term bell curve is used to describe the mathematical concept called normal distribution.
- It is also called as Gaussian distribution.
- The Normal Distribution has: mean = median = mode
- i.e., This distribution is symmetry about the center.
- Half of values less than the mean and half of values greater than the mean.
- In a normal distribution the probability values are satisfying the following conditions:
1. The total area under the curve is equal to 1 (100%) 2. About 68% of the area under the curve falls within 1 standard deviation. 3. About 95% of the area under the curve falls within 2 standard deviations. 4. About 99.7% of the area under the curve falls within 3 standard deviations.
- In a normal distribution the mean =0 and standard deviation =1,then the distribution is called the standard normal distribution or the unit normal distribution, and a random variable with that distribution is a standard normal deviate.
- It is the only absolutely continuous distribution.
- A normal distribution is calculated by
, where is the mean and <math>\sigma<\math> is the standard deviaton of the distribution.
where , and
RANDOMNUMBERGENERATION(Number, RandomNumber, Distribution, NewTableFlag, Mean, StandardDeviation)
where,
Number - represents the number of variables.
RandomNumber - represents the number of random number.
Distribution - represents the distribution method(i.e normal) to create random values.
NewTableFlag - is the TRUE or FALSE.If set as TRUE,the result in new sheet. If NewTableFlag is omitted, it assumed to be FALSE.
Mean - represents the Mean.
StandardDeviation - represents the standard deviation.
Lets see an example in (Column3Row1)
?UNIQeebbe8a3183fa626-nowiki-00000004-QINU?
RANDOMNUMBERGENERATION returns the result in new sheet(5Space).
?UNIQeebbe8a3183fa626-nowiki-00000005-QINU?
RANDOMNUMBERGENERATION returns the #ERROR(Number < 0).
RANDOM NUMBER GENERATION : NORMAL
If Number < 0 or RandomNumber < 0, RANDOMNUMBERGENERATION returns the #ERROR.
Column1 | Column2 | Column3 | Column4 | |
Row1 | 5Space | |||
Row2 | ||||
Row3 | ||||
Row4 | ||||
Row5 | ||||
Row6 |
-0.6469271541994427 | -1.9074080903736057 | -0.617997136104105 |
-0.7646726307858795 | -0.12686814329075044 | -1.0016839542241755 |
1.5847698409152808 | 0.6334613031585946 | -0.4798269568260549 |
-1.6687086155351085 | 1.102906962994111 | 1.4347768240383833 |